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WS 2016/2017

Computational Neuroscience:
Models of Neural Systems,
Theoretical Lectures

Richard Kempter and Benjamin Lindner

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Dates and Times: Weekly, on Mondays from 10:00 to 11:30h, from 24-October-2016 to 13-February-2017.

Location: Bernstein Center for Computational Neurosciences Berlin, Haus 6, Lecture Hall. Philippstr. 13.

Lecture notes and recommended reading (pdf files): Available at the Moodle Course ''Models of Neural Systems: Theoretical Lecture''


(1) 24.10.2016 Introduction; Simple units and networks of units (part 1) (Kempter)
(2) 31.10.2016 Simple units and networks of units (part 2); Adaptation and learning (part 1) (Kempter)
(3) 07.11.2016 Adaptation and learning (part 2) + Visual recepive fields (Kempter)
(4) 14.11.2016 Visual receptive fields (Kempter)
(5) 21.11.2016 Nernst equation, GHK equation, membrane equation (Lindner)
(6) 28.11.2016 Voltage clamp, synapses, integrate-and-fire models (Lindner)
(7) 05.12.2016 Nonlinear membranes, voltage-dependent conductances (Lindner)
(8) 12.12.2016 Gate model, Hodgkin-Huxley equations (Lindner)
(9) 02.01.2017 Channel models, Conductance-based neuron models (Lindner)
(10) 09.01.2017 Phase-space analysis (1- and 2-dim systems) (Lindner)
(11) 16.01.2017 Phase-space analysis (2-dim systems) (Lindner)
(12) 23.01.2017 room 144, HGS Phase-space analysis (2-dim systems) (Lindner)
(13) 30.01.2017 Models of dendrites and axons (cable theory I) (Kempter)
(14) 06.02.2017 Models of dendrites and axons (cable theory II) (Kempter)
(15) 13.02.2017 Network models (Kempter)